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ITU-TRNC Student Affairs ITU-TRNC Student Affairs ITU-TRNC Student Affairs ITU-TRNC Student Affairs
  • COURSES
    • COURSE PLANS
    • COURSE SCHEDULES
    • COURSE CATALOGUES
  • FORMS & PETITIONS
    • FORMS
    • PETITIONS
  • INTERNSHIP
    • INTERNSHIP INFORMATION
    • GENERAL INTERNSHIP PRINCIPLES
    • INTERNSHIP PROCESS
    • INTERNSHIP DOCUMENTS
    • ADDITIONAL INTERNSHIP PRINCIPLES
    • PROGRAM INTERNSHIP COMMISSION COORDINATORS
  • TRANSFER
    • ACADEMIC TRANSFER
    • DUAL PROGRAMS
    • EQUIVALENCE DOCUMENT
  • TUITION
    • FEES
    • SCHOLARSHIPS
  • REGULATIONS
    • RULES AND REGULATIONS
    • REGISTRATION PROCEDURES AND PRINCIPLES
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EFN 211E

DERS PROGRAMI FORMU

COURSE SYLLABUS FORM

Dersin Adı Course Name
Makroekonomiye Giriş Principles of Macroeconomics
Kodu
(Code)
Yarıyılı
(Semester)
Kredi
(Credit)
AKTS Kredisi
(ECTS Credit)
Ders Uygulaması, Saat/Hafta
(Course Implementation, Hours/Week)
Ders
(Theoretical)
Uygulama
(Tutorial)
Laboratuvar
(Laboratory)
EFN 211E 3 4 9 4 0 0
Bölüm/Program
(Department/Program)
Ekonomi ve Finans
(Economics and Finance)
Dersin Türü
(Course Type)
Zorunlu (Compulsory) Dersin Dili
(Course Language)
İngilizce (English)
Dersin Önkoşulları
(Course Prerequisites)
Yok
(None)
Dersin Mesleki Bileşene Katkısı, %
(Course Category by Content, %)
Temel Bilim ve Matematik
(Basic Sciencesand Math)
Temel Mühendislik
(Engineering Science)
Mühendislik/Mimarlık Tasarım
(Engineering/Architecture Design)
Genel Eğitim
(General Education)
60 - - 40
Dersin Tanımı
(Course Description)
Bu ders temel seviyede istatistik kavramlarına giriş mahiyetinde olup ileri işletme ve iktisat problemlerine yönelik uygulamalı metotların sunumunu içermektedir. İşlenecek konular şunlardır: Temel veri sunumu yöntemleri, olasılık ve rassal değişkenler, ayrık rassal değişkenler ve dağılımları, sürekli rassal değişkenler ve dağılımları, örneklem ve örneklem dağılımı, nokta tahmini, güven aralığı tahmini, ve hipotez testleri.
This course presents an introduction to statistical concepts with an emphasis on the applicability of the methods to management and economic problems. The following topics will be covered: data presentation, probability and random variables, discrete random variables and their distribution, continuous random variable and their distribution, sampling and sampling distributions, point estimation, confidence interval estimation, and hypothesis testing.
Dersin Amacı
(Course Objectives)
  1. Temel istatistik kavram ve modellerini öğrenmek.
  2. İstatistik metotlarını işletme ve iktisat sorunlarının çözümlerinde kullanılmasını öğrenmek.
  3. İleri seviyede istatistik ve ekonometri bilgisi için temel oluşturmak.
  1. Learning of basic statistical concepts and models.
  2. Learning the use of statistical tools in solving management and economic problems.
  3. Providing a foundation for the advanced courses on statistics and econometrics.
Dersin Öğrenme Çıktıları
(Course Learning Outcomes)
  1. İstatistik biliminin temel kavram ve metotlarını öğrenmek
  2. Temel olasılık hesapları yapmayı öğrenmek
  3. Temel olasılık dağılımları ve öğrenmek.
  4. Örneklem ve örneklem dağılımı kavramlarını öğrenmek
  5. Tahmin yöntemleri öğrenmek
  1. Learning basic concepts and methods of statistical science.
  2. Learning how to solve basic probability problems.
  3. Learning basic probability distributions.
  4. Learning sampling and sampling distributions.
  5. Learning estimation methods.
  • Economics and Finance
  • Economics and Finance
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  • Namık Kemal Mah.
  • Fazıl Polat Paşa Bulvarı
  • Famagusta
  • Turkish Republic of Northern Cyprus
  • 99450
  • (+90) 392 630 5000
  • kktcogrenciisleri@itu.edu.tr
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